考虑两阶段碳交易的多园区综合能源微网混合博弈优化运行方法

doi:10.19595/j.cnki.1000-6753.tces.241302

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Abstract

The park's integrated energy microgrid covers the production, transmission, storage and utilization of energy, and combines electricity, thermal units and energy storage to improve energy utilization and reduce carbon emissions in the system. However, with the increasing number of entities in the microgrid, the existing carbon trading mechanism cannot meet the interests of each entity. In this context, how to take into account the interests of multiple parties and build a multi-level carbon trading strategy corresponding to the energy system is a key constraint for low-carbon operation of multi-park integrated energy microgrids. Therefore, this paper proposes a hybrid game optimization operation method for multi-park integrated energy microgrids that considers two-stage carbon trading. The aim is to formulate a reasonable carbon trading strategy of multi-park integrated energy microgrids to effectively guide the low-carbon operation of the park and promote the realization of the "double carbon" goal.
First, a two-stage carbon trading mechanism is proposed in which microgrid operators buy and sell carbon quotas to integrated energy microgrids in various parks in the first stage of carbon trading. In the second stage of carbon trading, microgrid operator s participate in external carbon trading markets. The purpose is that the operators of the microgrid will set time-varying carbon prices through the carbon quota purchase and sale information fed back by each microgrid, so as to guide the low-carbon operation of each microgrid, and enable the multi-park integrated energy microgrids to form an effective interaction with the upper market under the carbon trading mechanism. Secondly, a master-slave game model with the microgrid operators as the leader and the multi-park integrated energy microgrids as the follower are constructed, and a cooperative game model between the multi-park integrated energy microgrids is constructed considering the electricity transaction between the microgrid. On this basis, the cooperative alliance built by the multi-park integrated energy microgrids cooperation game model is taken as the follower of the master-slave game, and the microgrid operator is taken as the leader of the master-slave game, and the multi-park integrated energy microgrids hybrid game model is constructed. Among them, microgrid operators are the leaders, with the goal of maximizing their own interests, setting carbon prices and distributing them to the integrated energy microgrid of each park. The multi-park integrated energy microgrids are the follower, with the goal of minimizing the comprehensive cost, and responds to the strategy of microgrid operators through cooperation. Finally, the cooperative game model of multi-park integrated energy microgrids is transformed into two sub-problems by Nash bargaining theory, and then the mixed game model is solved by dichotomy and alternating direction multiplier method. The superiority of the proposed method is verified by simulation.
The results show that: (1) The two-stage carbon trading strategy proposed in this paper can improve the economy and low-carbon performance of each microgrid, and ensure the low-carbon operation of each microgrid in the system; (2) The multi-microgrid hybrid game optimization model constructed in this paper improves the economy of both microgrid operators and each microgrid in the system and guarantees the economy of each entity; (3) Using dichotomy and alternating direction multiplier method can solve the mixed game model efficiently on the basis of protecting the privacy of each entity.

Key words： Multi-park integrated energy microgrids low carbon optimized operation hybrid game Nash bargaining distributed optimization

Received: 22 July 2024

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LI Peng,LIU Hao,LI Yuwei. Multi-park Integrated Energy Microgrids Hybrid Game Optimization Strategy Considering Two-stage Carbon Trading[J]. Transactions of China Electrotechnical Society, 0, (): 1302-7.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.241302 OR https://dgjsxb.ces-transaction.com/EN/Y0/V/I/1302

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